Multiple correspondence analysis is a statistical technique that is strongly associated with the work of Pierre Bourdieu (1930-2002). In seven chapters, this volume will provide the reader with a comprehensive introduction and the needed knowledge to do analyses on his/her own: CA, MCA, Specific MCA, the integration of MCA and variance analysis, of MCA and ascending hierarchical cluster analysis and class specific MCA on subgroups. The book is written as a non-technical introduction, intended for the advanced undergraduate level and onwards.
Multiple correspondence analysis is a statistical technique that is strongly associated with the work of Pierre Bourdieu (1930-2002). In seven chapters, this volume will provide the reader with a comprehensive introduction and the needed knowledge to do analyses on his/her own: CA, MCA, Specific MCA, the integration of MCA and variance analysis, of MCA and ascending hierarchical cluster analysis and class specific MCA on subgroups. The book is written as a non-technical introduction, intended for the advanced undergraduate level and onwards.
Johs. Hjellbrekke is Professor of Sociology at the University of Bergen, Norway, and Director of the Norwegian University Centre in Paris, FMSH. His research interests are in social stratification, class analysis, social mobility, the sociology of elites, geometric data analysis and statistical analysis of categorical data. Since 1995, he has taught courses in multiple correspondence analysis at more than 15 different universities.
Inhaltsangabe
Preface 1. Geometric Data Analysis 2. Correspondence Analysis 3. Multiple Correspondence Analysis 4. Passive and Supplementary Points, Supplementary Variables and Structured Data Analysis 5. MCA and Ascending Hierarchical Cluster Analysis 6. Constructing Spaces 7. Analyzing Sub-Groups. Class Specific MCA Appendix: Softwares For Doing MCA